Mendel's Peas
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
Mendel discovered the laws of inheritance by growing peas. However, later statisticians (such as Fisher) found that his data were 'too good to be true', perfectly matching theoretical expectations with almost no random error. This suggests the possibility of unconscious data manipulation.
SCAFFOLDING EFFECT
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Be wary of perfect data. When you see reports, experimental results, or backtest curves that are flawless, they are likely fake (overfitting or fabrication). The real world is full of noise and bias. Data with some flaws is more credible.
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Mendel discovered the laws of dominance and segregation through pea hybridization. But the 'overfitting'-like perfection of the data (questioned by Fisher) suggests that real random experiments must have noise; overly neat data may have been unconsciously manipulated and thus is less credible.
MINIMUM ACTION
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E5%AD%9F%E5%BE%B7%E5%B0%94%E5%AE%9A%E5%BE%8Bverified
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